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Bivariate Statistics

Practice exam-style IB Math AA questions for Bivariate Statistics, aligned with the syllabus and grouped by topic.

Paper
Difficulty
Status
Level
Question 1
SL • Paper 2
Easy
Calculator Permitted

Five paired observations of variables xx and yy are shown in the scatter diagram. A student draws the line y=2.8x+14y=2.8x+14 as a proposed line of best fit. The coordinates of the five observations, in order of increasing xx, are (3,22)(3,22), (5,29)(5,29), (6,31)(6,31), (10,42)(10,42) and (11,48)(11,48).

Five observations and the proposed line y=2.8x+14.
A

Find the coordinates of the mean point, (xˉ,yˉ)(\bar{x},\bar{y}).

[2]
Write your answer here...
B

Determine whether the student's line is suitable as a line of best fit by eye. Give a reason for your answer.

[2]
Write your answer here...

0

Question 2
SL • Paper 1
Medium
Non Calculator

For a sample of students, xx denotes the number of hours spent revising and yy denotes the score on a test. The regression line of yy on xx is

y=5x+42y=5x+42

for 1x81\leq x\leq 8. The Pearson product-moment correlation coefficient is r=0.92r=0.92. For this sample size, the critical value for testing linear correlation is 0.7540.754.

A

State the direction and strength of the linear correlation.

[1]
Write your answer here...
B

Determine whether the linear correlation is significant, giving a reason.

[2]
Write your answer here...
C

Use the regression line to estimate the test score for a student who revised for 66 hours.

[2]
Write your answer here...
D

Explain why using this regression line to estimate the score for a student who revised for 1212 hours may be unreliable.

[1]
Write your answer here...

0

Question 3
SL • Paper 1
Medium
Non Calculator

The height, hh cm, of a young plant tt weeks after it is planted is modelled by the regression line

h=4t+12h=4t+12

for 2t102\leq t\leq 10.

A

Interpret the meaning of the gradient in this context.

[1]
Write your answer here...
B

Interpret the meaning of the intercept, and comment on its validity in this context.

[2]
Write your answer here...
C

Find the predicted height of the plant after 77 weeks.

[2]
Write your answer here...
D

Find the predicted increase in height over any 33 week interval.

[1]
Write your answer here...

0

Question 4
SL • Paper 1
Medium
Non Calculator

Five bivariate observations have variables xx and yy. For these observations,

x=30,y=50\sum x=30,\qquad \sum y=50

A line of best fit drawn by eye passes through the mean point and also through the point (2,4)(2,4).

A

Find the coordinates of the mean point.

[2]
Write your answer here...
B

Find the equation of this line of best fit in the form y=mx+cy=mx+c.

[3]
Write your answer here...
C

Use your line to estimate yy when x=8x=8.

[1]
Write your answer here...

0

Question 5
SL • Paper 1
Medium
Non Calculator

For a set of bivariate data, the regression line of yy on xx is

y=2x+37y=-2x+37

The observed values of xx satisfy 5x135\leq x\leq 13.

A

State the direction of the linear correlation suggested by the regression line.

[1]
Write your answer here...
B

Use the regression line to estimate yy when x=9x=9.

[2]
Write your answer here...
C

Find the predicted change in yy when xx increases by 44.

[2]
Write your answer here...
D

Classify a prediction made using x=4x=4 and a prediction made using x=12x=12 as interpolation or extrapolation.

[2]
Write your answer here...

0

Question 6
HL • Paper 1
Medium
Non Calculator

For a set of bivariate data, the mean point is (4,15)(4,15). The regression line of xx on yy has gradient 25\dfrac{2}{5}.

A

Determine the equation of the regression line of xx on yy.

[2]
Write your answer here...
B

Use your equation to predict xx when y=20y=20.

[2]
Write your answer here...
C

The regression line of yy on xx is y=54x+10y=\dfrac{5}{4}x+10. Verify that this line also passes through the mean point.

[1]
Write your answer here...

0

Question 7
SL • Paper 2
Medium
Calculator Permitted

A juice bar recorded the daily maximum temperature, xCx^\circ\text{C}, and the number of cold drinks sold, yy, on six different days. The data are shown in the table.

Maximum temperature [°C]

Cold drinks sold

12

78

14

81

16

92

18

101

20

107

22

117

A

Find Pearson's product-moment correlation coefficient, rr, for the data.

[2]
Write your answer here...
B

The regression line of yy on xx has equation y=ax+by=ax+b. Find the value of aa and the value of bb.

[2]
Write your answer here...
C

Use the regression line to estimate the number of cold drinks sold on a day when the maximum temperature is 19C19^\circ\text{C}.

[2]
Write your answer here...

0

Question 8
SL • Paper 2
Medium
Calculator Permitted

A teacher recorded the number of absences, xx, and the final test score, yy, for six students in a class. The data are shown in the table.

1

2

3

4

5

6

number of absences, x

1

2

3

4

5

6

final test score, y

75

74

68

62

56

52

A

Find Pearson's product-moment correlation coefficient, rr.

[2]
Write your answer here...
B

Find the equation of the regression line of yy on xx.

[2]
Write your answer here...
C

State what the gradient means in this context.

[1]
Write your answer here...

0

Question 9
SL • Paper 2
Medium
Calculator Permitted

An athletics coach records the number of training sessions per week, xx, and the distance run in a fitness test, yy km, for six athletes. The data are shown in the table. For n=6n=6, the critical value of r|r| at the 5%5\% significance level is 0.8110.811.

Variable

Athlete 1

Athlete 2

Athlete 3

Athlete 4

Athlete 5

Athlete 6

training sessions per week, x

1

2

3

4

5

6

distance run, y [km]

1

3

4

7

9

10

A

Find Pearson's product-moment correlation coefficient, rr.

[2]
Write your answer here...
B

Determine whether there is significant positive linear correlation at the 5%5\% level.

[2]
Write your answer here...
C

The coach claims that increasing the number of training sessions causes athletes to run further in the test. Comment on this claim.

[1]
Write your answer here...

0

Question 10
SL • Paper 1
Medium
Non Calculator

In an investigation, xx represents temperature and yy represents the time taken for a reaction. The regression line of yy on xx passes through the mean point (20,74)(20,74) and has gradient 32-\dfrac{3}{2}.

A

Find the equation of the regression line in the form y=ax+by=ax+b.

[2]
Write your answer here...
B

Use the regression line to estimate yy when x=16x=16.

[2]
Write your answer here...
C

For one observation, x=16x=16 and the actual value of yy was 8383. Find the difference actual value minus predicted value.

[1]
Write your answer here...
D

Explain why this regression line alone does not prove that temperature causes a change in reaction time.

[1]
Write your answer here...

0

Question 11
SL • Paper 1
Medium
Non Calculator

A set of bivariate data has Pearson product-moment correlation coefficient r=0.08r=-0.08. The observed values of xx satisfy 3x3-3\leq x\leq 3. A scatter diagram of the data shows points lying close to a curve shaped like a parabola.

A

State what the value of rr suggests about the linear correlation.

[1]
Write your answer here...
B

Explain why the value of rr may be misleading if used on its own.

[2]
Write your answer here...
C

State whether a linear regression model would be appropriate for these data, giving a reason.

[2]
Write your answer here...
D

Explain why a prediction made using x=5x=5 would be particularly unreliable.

[1]
Write your answer here...

0

Question 12
HL • Paper 1
Medium
Non Calculator

For a set of bivariate data, the regression line of yy on xx is

y=12x+4y=\frac{1}{2}x+4

and the regression line of xx on yy is

x=32y3x=\frac{3}{2}y-3
A

Find the mean point of the data.

[3]
Write your answer here...
B

Use the appropriate regression line to estimate xx when y=14y=14.

[2]
Write your answer here...
C

Explain why rearranging the regression line of yy on xx is not the appropriate method for part (b).

[1]
Write your answer here...

0

Question 13
HL • Paper 1
Medium
Non Calculator

For a set of data, the regression line of xx on yy is

x=23y+5x=\frac{2}{3}y+5

The regression line of yy on xx is

y=34x+6y=\frac{3}{4}x+6

The observed values of yy satisfy 12y3012\leq y\leq 30.

A

Use the appropriate regression line to estimate xx when y=21y=21.

[2]
Write your answer here...
B

State whether using the regression line of xx on yy when y=34y=34 would be interpolation or extrapolation.

[1]
Write your answer here...
C

Use the appropriate regression line to estimate yy when x=23x=23.

[2]
Write your answer here...
D

Explain why the equation x=23y+5x=\dfrac{2}{3}y+5 should not be rearranged to answer part (c).

[1]
Write your answer here...

0

Question 14
HL • Paper 1
Medium
Non Calculator

For a set of bivariate data, the regression line of yy on xx is

y=12x+2y=\frac{1}{2}x+2

and the regression line of xx on yy is

x=43yx=\frac{4}{3}y
A

Find the mean point of the data.

[3]
Write your answer here...
B

Use the appropriate regression line to estimate yy when x=10x=10.

[2]
Write your answer here...
C

Use the appropriate regression line to estimate xx when y=9y=9.

[1]
Write your answer here...

0

Question 15
HL • Paper 1
Medium
Non Calculator

For a data set, the regression line of yy on xx is

y=2x+22y=-2x+22

and the regression line of xx on yy is

x=18y+294x=-\frac{1}{8}y+\frac{29}{4}
A

Find the mean point of the data.

[3]
Write your answer here...
B

Use the appropriate regression line to estimate xx when y=18y=18.

[2]
Write your answer here...
C

Interpret the gradient of the regression line of xx on yy.

[1]
Write your answer here...

0

Question 16
SL • Paper 2
Medium
Calculator Permitted

A scientist models the relationship between a variable xx and a positive variable yy. The table gives values of xx and lny\ln y. The regression equation of lny\ln y on xx is written as lny=ax+b\ln y=ax+b.

Observation

1

2

3

4

5

x

2

4

6

8

10

ln y

1.182

1.647

2.112

2.577

3.042

A

Find the value of aa and the value of bb.

[2]
Write your answer here...
B

Use the regression equation to estimate yy when x=7x=7.

[3]
Write your answer here...
C

State whether this estimate is an interpolation or an extrapolation.

[1]
Write your answer here...

0

Question 17
SL • Paper 2
Medium
Calculator Permitted

A taxi company records the distance of a journey, xx km, and the fare, yy dollars, for five journeys. The data are shown in the table.

Journey

1

2

3

4

5

distance xx [km]

4.491

5.921

7.600

9.779

12.209

fare yy [dollars]

9

13

17

21

25

A

Find Pearson's product-moment correlation coefficient, rr.

[2]
Write your answer here...
B

Find the regression line of xx on yy, in the form x=cy+dx=cy+d.

[2]
Write your answer here...
C

Use your regression line to estimate the distance of a journey with fare 2020 dollars.

[2]
Write your answer here...

0

Question 18
HL • Paper 2
Medium
Calculator Permitted

A sports scientist records the age, xx, in decades, and sprint speed, yy, in kmh1\text{km}\,\text{h}^{-1}, of five athletes. The data are shown in the table.

Athlete

1

2

3

4

5

Age / decades

3

4

5

6

7

Sprint speed / kmh1\text{km}\,\text{h}^{-1}

40.91

34.39

34.20

29.79

31.71

A

Find the regression line of yy on xx.

[2]
Write your answer here...
B

Find the regression line of xx on yy.

[2]
Write your answer here...
C

Estimate the age, in decades, of an athlete whose sprint speed is 3333 kmh1\text{km}\,\text{h}^{-1}. State which regression line you used.

[2]
Write your answer here...

0

Question 19
HL • Paper 2
Medium
Calculator Permitted

For a set of bivariate data, the regression line of yy on xx is y=1.84x+12.5y=1.84x+12.5 and Pearson's product-moment correlation coefficient is r=0.912r=0.912. New variables uu and vv are defined by u=x5u=x-5 and v=2y+10v=2y+10.

A

Determine Pearson's product-moment correlation coefficient between uu and vv.

[1]
Write your answer here...
B

Find the regression line of vv on uu.

[3]
Write your answer here...

0

Question 20
SL • Paper 1
Medium
Non Calculator

A small museum recorded the number of days, xx, after the opening of an exhibition and the number of visitors, yy, on that day. A linear regression model for the data is

y=35x+820,1x14y=-35x+820,\qquad 1\leq x\leq 14

The mean of the recorded xx-values is 88, and there were 1010 recorded days.

A
I.

Find the mean number of visitors per recorded day.

[2]
Write your answer here...
II.

Hence find the total number of visitors on the recorded days.

[1]
Write your answer here...
B
I.

Use the regression model to estimate the number of visitors on day 55.

[2]
Write your answer here...
II.

Find the predicted change in the number of visitors over any 44-day interval.

[2]
Write your answer here...
C
I.

On day 55 the actual number of visitors was 630630. Find the residual, defined as actual value minus predicted value.

[2]
Write your answer here...
II.

State whether using the model to estimate the number of visitors on day 2020 would be interpolation or extrapolation.

[1]
Write your answer here...
D

The museum manager claims that each extra day after opening causes exactly 3535 fewer visitors. Comment on this claim.

[2]
Write your answer here...

0

Question 21
SL • Paper 1
Medium
Non Calculator

A shop selling second-hand cameras records the age, xx years, and the repair cost, yy dollars, for six cameras. For these data,

x=48,y=150\sum x=48,\qquad \sum y=150

A line of best fit drawn by eye must pass through the mean point. A student suggests the line y=3x+1y=3x+1.

A
I.

Find the coordinates of the mean point.

[2]
Write your answer here...
II.

Determine whether the student's line satisfies the mean point condition.

[2]
Write your answer here...
B
I.

Use the student's line to estimate the repair cost for a camera aged 1010 years.

[1]
Write your answer here...
II.

The regression line of yy on xx for these data is y=52x+5y=\frac{5}{2}x+5, for 4x124\leq x\leq 12. Interpret the gradient in context.

[2]
Write your answer here...
C

Use the regression line y=52x+5y=\frac{5}{2}x+5 to estimate the repair cost for a camera aged 1414 years, and comment on the reliability of this estimate.

[3]
Write your answer here...

0

Question 22
SL • Paper 1
Medium
Non Calculator

A city council records the floor area, xx, in hundreds of square metres, and the annual number of visits, yy, in thousands, for several community libraries. For these data, Pearson's product-moment correlation coefficient is r=0.84r=0.84. For this sample size, the critical value for testing linear correlation is 0.7540.754.

The regression line of yy on xx is

y=2x+18,20x60y=2x+18,\qquad 20\leq x\leq 60
A
I.

(a)(i) Describe the direction and strength of the linear correlation.

[2]
Write your answer here...
II.

(a)(ii) Determine whether the linear correlation is significant, giving a reason.

[2]
Write your answer here...
B
I.

(b)(i) Estimate the annual number of visits for a library with floor area 4545 hundreds of square metres.

[2]
Write your answer here...
II.

(b)(ii) Interpret the intercept of the regression line, and comment on its validity in this context.

[2]
Write your answer here...
C
I.

(c)(i) A councillor claims that increasing the floor area causes an increase in the number of visits. Comment on this claim.

[2]
Write your answer here...
II.

(c)(ii) Explain why the regression line should not automatically be rearranged to estimate xx from a given value of yy.

[1]
Write your answer here...

0

Question 23
SL • Paper 1
Medium
Non Calculator

For a sample of adults, xx denotes the number of phone notifications received in one hour and yy denotes the number of minutes of uninterrupted reading in that hour. The regression line of yy on xx has gradient 32-\frac{3}{2} and passes through the mean point (12,54)(12,54). The observed values of xx satisfy 4x184\leq x\leq 18.

A

Find the equation of the regression line of yy on xx, in the form y=ax+by=ax+b.

[3]
Write your answer here...
B

Interpret the regression line in the following parts.

I.

Interpret the gradient in context.

[2]
Write your answer here...
II.

Interpret the intercept, and comment on whether this interpretation is reliable.

[2]
Write your answer here...
C

Use the regression line to answer the following parts.

I.

Estimate the uninterrupted reading time for an adult receiving 1616 notifications in one hour.

[2]
Write your answer here...
II.

For one adult with 1616 notifications, the actual uninterrupted reading time was 4545 minutes. Find the residual, actual value minus predicted value. If you did not obtain an estimate in part (c)(i), use 4848 minutes.

[2]
Write your answer here...
D

Explain why the regression equation alone does not prove that phone notifications cause reduced uninterrupted reading time.

[2]
Write your answer here...

0

Question 24
SL • Paper 1
Medium
Non Calculator

A craft workshop records the drying time, xx hours, and the percentage moisture remaining, yy, for a set of clay tiles. A regression model for predicting yy from xx is

y=4x+86,2x10y=-4x+86,\qquad 2\leq x\leq 10

For these data, r=0.96r=-0.96. For this sample size, the critical value for testing linear correlation is 0.8780.878.

A
I.

State the variable that should be used as the predictor in this regression model.

[1]
Write your answer here...
II.

State the variable being predicted by this regression model.

[1]
Write your answer here...
B
I.

Use the model to estimate the percentage moisture remaining after 66 hours.

[2]
Write your answer here...
II.

student rearranges the model to estimate the drying time when 5050 percent moisture remains. Find the student's estimate, and state one limitation of this method.

[3]
Write your answer here...
C
I.

Determine whether the linear correlation is significant, giving a reason.

[2]
Write your answer here...
II.

Explain why using the model at x=14x=14 hours may be unreliable.

[1]
Write your answer here...

0

Question 25
HL • Paper 1
Medium
Non Calculator

For a set of bivariate data, the regression line of xx on yy is

x=13y+7x=\frac{1}{3}y+7

The mean point of the data is (10,9)(10,9). The regression line of yy on xx has gradient 22. A student rearranges the regression line of xx on yy to obtain y=3x21y=3x-21 and uses this to predict yy from xx.

A

Use the regression line of xx on yy to predict xx when y=15y=15.

[2]
Write your answer here...
B

Find the equation of the regression line of yy on xx.

[2]
Write your answer here...
C

For x=12x=12, find the prediction from the regression line of yy on xx and the prediction from the student's rearranged equation.

[2]
Write your answer here...
D

State which prediction in part (c) should be used, giving a reason.

[1]
Write your answer here...

0

Question 26
SL • Paper 2
Medium
Calculator Permitted

A bicycle hire company records the number of sunshine hours, xx, and the number of bicycles hired, yy, on seven Saturdays. The paired data are
(2,18),(4,35),(5,39),(7,54),(8,63),(10,76),(11,82)(2,18),(4,35),(5,39),(7,54),(8,63),(10,76),(11,82)

Scatter diagram of sunshine hours against bicycles hired for seven Saturdays, showing a strong positive linear trend.
A
I.

Find Pearson's product-moment correlation coefficient, rr.

[2]
Write your answer here...
II.

Comment on the strength and direction of the linear correlation.

[1]
Write your answer here...
B
I.

Find the equation of the regression line of yy on xx in the form y=ax+by=ax+b.

[2]
Write your answer here...
II.

Use the regression line to estimate the number of bicycles hired on a Saturday with 99 sunshine hours.

[2]
Write your answer here...
C

manager wants to use the regression line to estimate the number of bicycles hired on a Saturday with 1515 sunshine hours. State whether this would be interpolation or extrapolation, and comment on its reliability.

[1]
Write your answer here...

0

Question 27
SL • Paper 2
Medium
Calculator Permitted

An events organiser records the rainfall, xx mm, and the attendance, yy, at seven outdoor performances. The paired data are
(0,510),(2,480),(5,430),(7,410),(9,360),(12,325),(14,290)(0,510),(2,480),(5,430),(7,410),(9,360),(12,325),(14,290)
For n=7n=7, the critical value of r|r| at the 5%5\% significance level is 0.7540.754.

Scatter diagram of attendance against rainfall for seven performances, showing a strong negative linear trend.
A
I.

Find Pearson's product-moment correlation coefficient, rr.

[2]
Write your answer here...
II.

Determine whether there is significant linear correlation at the 5%5\% level.

[2]
Write your answer here...
B
I.

Find the regression line of yy on xx.

[2]
Write your answer here...
II.

Estimate the attendance when the rainfall is 66 mm.

[1]
Write your answer here...
C
I.

State whether the estimate in part (b)(ii) is interpolation or extrapolation.

[1]
Write your answer here...
II.

The organiser claims that rainfall causes lower attendance. Comment on this claim.

[1]
Write your answer here...

0

Question 28
SL • Paper 2
Medium
Calculator Permitted

A city engineer records the traffic flow, xx, in hundreds of vehicles per hour, and the noise level, yy dB, at six roads. The paired data are
(12,55),(18,59),(21,61),(27,66),(33,71),(39,74)(12,55),(18,59),(21,61),(27,66),(33,71),(39,74)

Scatter diagram of traffic flow and noise level at six roads.
A
I.

Find the coordinates of the mean point (xˉ,yˉ)(\bar{x},\bar{y}).

[2]
Write your answer here...
II.

Explain why a line of best fit drawn by eye should pass close to this point.

[1]
Write your answer here...
B
I.

Find the regression line of yy on xx.

[2]
Write your answer here...
II.

Use the regression line to estimate the noise level when x=30x=30.

[1]
Write your answer here...
C

At another road, the traffic flow was x=30x=30 and the actual noise level was 7070 dB. Find the residual, using actual value minus predicted value, and interpret it.

[2]
Write your answer here...

0

Question 29
HL • Paper 2
Medium
Calculator Permitted

The table shows five paired observations of variables xx and yy.

xx

yy

2.4

6.971

4.4

9.693

5.4

12.600

6.4

15.507

8.4

18.229

A

Find the regression line of yy on xx.

[2]
Write your answer here...
B

Find the regression line of xx on yy.

[2]
Write your answer here...
C

The two regression lines intersect at the mean point of the data. Determine the coordinates of this point.

[2]
Write your answer here...

0

Question 30
HL • Paper 2
Medium
Calculator Permitted

A marine biologist records the length, xx cm, and mass, yy g, of six fish. One observation appears to be unusual. The data are shown in the table.

Observation

1

2

3

4

5

6

Length x [cm]

1

2

3

4

5

6

Mass y [g]

2.00

4.23

6.10

8.21

9.96

3.00

A

Find Pearson's product-moment correlation coefficient, rr, using all six observations.

[2]
Write your answer here...
B

The biologist removes the unusual observation and recalculates the correlation coefficient using the remaining five observations. Find the new value of rr.

[2]
Write your answer here...
C

Using only the remaining five observations, the regression line of yy on xx is y=1.99x+0.13y=1.99x+0.13. Estimate the mass of a fish of length 66 cm.

[2]
Write your answer here...
D

Comment on the reliability of the estimate in part (c).

[1]
Write your answer here...

0

Question 31
HL • Paper 2
Medium
Calculator Permitted

The population PP of a bacterial culture, in thousands, is recorded at time tt hours. The table gives values of tt and lnP\ln P. It is suggested that PP may be modelled by P=AektP=Ae^{kt}, where AA and kk are constants.

t [h]

ln P

0

1.108

2

1.472

4

1.836

6

2.200

8

2.564

A

Find the regression equation of lnP\ln P on tt in the form lnP=mt+c\ln P=mt+c.

[2]
Write your answer here...
B

Hence find the value of AA and the value of kk.

[2]
Write your answer here...
C

Use the model to estimate the time at which the population reaches 2020 thousand.

[3]
Write your answer here...

0

Question 32
HL • Paper 2
Medium
Calculator Permitted

The table shows values of xx and yy for seven observations. The table suggests a curved relationship.

xx

yy

-3

9.18

-2

4.14

-1

1.10

0

0.08

1

1.06

2

4.06

3

9.08

A

Find Pearson's product-moment correlation coefficient, rr, for xx and yy.

[2]
Write your answer here...
B

Explain why the value of rr may be misleading in this context.

[1]
Write your answer here...
C

Let z=x2z=x^2. Find the regression line of yy on zz.

[2]
Write your answer here...
D

Use the regression line in part (c) to estimate yy when x=2.5x=2.5.

[2]
Write your answer here...

0

Question 33
HL • Paper 3
Medium
Calculator Permitted

A museum records the age xx years of ceramic samples and their measured hardness yy on a standard scale. The regression line of xx on yy has gradient 0.031250.03125 and passes through the mean point. The mean age is 8.008.00 years and the Pearson correlation coefficient is 0.7500.750.

Scatter plot of ceramic hardness against age with the mean point marked.
A
I.

Find the mean hardness of the samples if the regression line of xx on yy is x=0.03125y+2.50x=0.03125y+2.50.

[2]
Write your answer here...
II.

Find the equation of the regression line of yy on xx.

[2]
Write your answer here...
B
I.

Estimate the hardness of a sample aged 7.207.20 years. If you did not obtain an equation in part (a)(ii), use y=18.0x+32.0y=18.0x+32.0.

[2]
Write your answer here...
II.

Estimate the age of a sample with hardness 170170.

[1]
Write your answer here...
C
I.

Find the ratio sy:sxs_y:s_x of the sample standard deviations.

[2]
Write your answer here...
II.

Explain why the intercept 32.032.0 should be interpreted with care.

[2]
Write your answer here...

0

Question 34
SL • Paper 1
Hard
Non Calculator

A harbour officer records the time, xx hours after midnight, and the depth of water, yy metres, at six times during one tide cycle. The observations are

(0,9), (1,5), (2,3), (3,3), (4,5), (5,9)(0,9),\ (1,5),\ (2,3),\ (3,3),\ (4,5),\ (5,9)
A
I.

Find xˉ\bar x.

[1]
Write your answer here...
II.

Find yˉ\bar y.

[1]
Write your answer here...
B

For these data, (xxˉ)2>0\sum (x-\bar x)^2>0 and (yyˉ)2>0\sum (y-\bar y)^2>0. Calculate Pearson's product-moment correlation coefficient, rr.

[3]
Write your answer here...
C
I.

State what the value of rr suggests about the linear correlation.

[1]
Write your answer here...
II.

Explain why using only the value of rr may be misleading for these data.

[2]
Write your answer here...
III.

State whether a linear regression model is appropriate for these data, giving a reason.

[1]
Write your answer here...

0

Question 35
HL • Paper 1
Hard
Non Calculator

For a set of bivariate data, the regression line of yy on xx has equation

y=13x+py=\frac{1}{3}x+p

The regression line of xx on yy has equation

x=34y+6x=\frac{3}{4}y+6

The mean of the xx-values is 1212.

A
I.

Find the value of pp.

[3]
Write your answer here...
II.

Write down the mean point.

[2]
Write your answer here...
B
I.

Use the appropriate regression line to estimate yy when x=18x=18. If you did not obtain p=4p=4, use p=4p=4.

[2]
Write your answer here...
II.

Use the appropriate regression line to estimate xx when y=16y=16.

[2]
Write your answer here...
C

student rearranges x=34y+6x=\frac{3}{4}y+6 and uses it to predict yy when x=18x=18. Compare this prediction with the prediction from part (b)(i), and state which should be used.

[3]
Write your answer here...

0

Question 36
HL • Paper 1
Hard
Non Calculator

A courier company records the distance of a delivery, xx km, and the delivery time, yy minutes. The regression line of yy on xx is

y=2x+10y=2x+10

The regression line of xx on yy has gradient 15\frac{1}{5}. The mean point of the data is (20,50)(20,50). The observed range of xx is 10x2810\leq x\leq 28 and the observed range of yy is 30y8030\leq y\leq 80; in each case, the endpoints are the observed minimum and maximum values.

A
I.

Find the equation of the regression line of xx on yy.

[3]
Write your answer here...
II.

Verify that the regression line of yy on xx passes through the mean point.

[1]
Write your answer here...
B
I.

Use the appropriate regression line to estimate the delivery time for a distance of 2525 km.

[2]
Write your answer here...
II.

Use the appropriate regression line to estimate the distance for a delivery time of 7070 minutes. If you did not obtain an equation in part (a)(i), use x=15y+10x=\frac{1}{5}y+10.

[2]
Write your answer here...
III.

Explain why rearranging y=2x+10y=2x+10 is not the appropriate method for part (b)(ii).

[2]
Write your answer here...
C
I.

Classify the two predictions in part (b) as interpolation or extrapolation.

[2]
Write your answer here...
II.

State why the regression equations alone do not prove that distance causes longer delivery time.

[1]
Write your answer here...

0

Question 37
HL • Paper 1
Hard
Non Calculator

A factory records the age, xx years, of several machines and the number of maintenance hours, yy, required in one month. The mean point is (6,11)(6,11). The regression line of yy on xx has gradient 32\frac{3}{2}, and the regression line of xx on yy has gradient 25\frac{2}{5}.

A
I.

Find the equation of the regression line of yy on xx.

[3]
Write your answer here...
II.

Find the equation of the regression line of xx on yy.

[3]
Write your answer here...
B
I.

Use the appropriate regression line to estimate the monthly maintenance hours for a machine aged 1010 years. If you did not obtain an equation in part (a)(i), use y=32x+2y=\frac{3}{2}x+2.

[2]
Write your answer here...
II.

Use the appropriate regression line to estimate the age of a machine requiring 1515 maintenance hours in one month. If you did not obtain an equation in part (a)(ii), use x=25y+85x=\frac{2}{5}y+\frac{8}{5}.

[2]
Write your answer here...
C

supervisor rearranges the regression line of xx on yy to predict yy from xx. Compare the supervisor's prediction for x=10x=10 with the prediction in part (b)(i), and state which prediction should be used.

[3]
Write your answer here...

0

Question 38
HL • Paper 1
Hard
Non Calculator

For a set of bivariate data, the regression line of yy on xx is

y=kx+2y=kx+2

and the regression line of xx on yy is

x=12y+7x=\frac{1}{2}y+7

The mean of the yy-values is 88. The observed values satisfy 4x184\leq x\leq 18 and 3y113\leq y\leq 11.

A
I.

Find the mean of the xx-values.

[2]
Write your answer here...
II.

Find the value of kk.

[2]
Write your answer here...
B
I.

Use the appropriate regression line to estimate yy when x=22x=22. If you did not obtain k=611k=\frac{6}{11}, use k=611k=\frac{6}{11}.

[2]
Write your answer here...
II.

Use the appropriate regression line to estimate xx when y=12y=12.

[2]
Write your answer here...
C

Comment on the reliability of the two estimates in part (b), using the observed ranges.

[2]
Write your answer here...

0

Question 39
HL • Paper 1
Hard
Non Calculator

A researcher records the altitude, xx metres, of several mountain villages and the average boiling temperature of water, yCy^\circ\text{C}, in those villages. The regression line of yy on xx is

y=120x+100y=-\frac{1}{20}x+100

and the regression line of xx on yy is

x=8y+1040x=-8y+1040

For these data, r=0.40.632r=-\sqrt{0.4}\approx -0.632. For this sample size, the critical value for testing linear correlation is 0.8780.878.

A
I.

Verify that the point (400,80)(400,80) lies on the regression line of yy on xx.

[1]
Write your answer here...
II.

Verify that the point (400,80)(400,80) lies on the regression line of xx on yy.

[1]
Write your answer here...
B
I.

Use the appropriate regression line to estimate the boiling temperature at an altitude of 520520 metres.

[2]
Write your answer here...
II.

Use the appropriate regression line to estimate the altitude of a village where the average boiling temperature is 85C85^\circ\text{C}.

[2]
Write your answer here...
C
I.

Determine whether the linear correlation is significant, giving a reason.

[2]
Write your answer here...
II.

State the direction of the correlation.

[1]
Write your answer here...
D
I.

Interpret the gradient of the regression line of xx on yy in context.

[2]
Write your answer here...
II.

Explain why the regression analysis alone does not establish a causal mechanism.

[1]
Write your answer here...

0

Question 40
SL • Paper 2
Hard
Calculator Permitted

A biologist investigates the relationship between two positive variables xx and yy. The values of lnx\ln x and lny\ln y for six observations are
(0.69,3.78),(1.10,3.50),(1.61,3.15),(2.08,2.87),(2.48,2.60),(2.89,2.36)(0.69,3.78),(1.10,3.50),(1.61,3.15),(2.08,2.87),(2.48,2.60),(2.89,2.36)
The regression line of lny\ln y on lnx\ln x is written as
lny=alnx+b\ln y=a\ln x+b

Scatter plot of ln y against ln x for six observations.
A
I.

Find the value of aa and the value of bb.

[2]
Write your answer here...
B

Assume that the relationship between xx and yy can be modelled by y=kxny=kx^n, where k>0k>0.

I.

Show that n=an=a and k=ebk=e^b.

[2]
Write your answer here...
II.

Hence find the value of nn and the value of kk.

[1]
Write your answer here...
C
I.

Use the fitted regression line for lny\ln y to estimate yy when x=10x=10.

[2]
Write your answer here...
II.

State whether this estimate is interpolation or extrapolation.

[1]
Write your answer here...
D

If you did not obtain a model in part (b), use lny=0.646lnx+4.21\ln y=-0.646\ln x+4.21. Estimate the value of xx when y=25y=25.

[2]
Write your answer here...

0

Question 41
SL • Paper 2
Hard
Calculator Permitted

A researcher records values of two variables xx and yy. The paired data are
(3,9.1),(2,4.2),(1,1.0),(0,0.2),(1,1.3),(2,3.8),(3,9.4)(-3,9.1),(-2,4.2),(-1,1.0),(0,0.2),(1,1.3),(2,3.8),(3,9.4)

Scatter diagram of the seven paired observations.
A
I.

Find Pearson's product-moment correlation coefficient, rr, for xx and yy.

[2]
Write your answer here...
II.

Explain why this value of rr may be misleading if used on its own.

[2]
Write your answer here...
B

For each observation, define z=x2z=x^2.

I.

Find the regression line of yy on zz.

[2]
Write your answer here...
II.

Hence estimate yy when x=2.5x=2.5.

[2]
Write your answer here...

0

Question 42
SL • Paper 2
Hard
Calculator Permitted

An energy company records the monthly electricity consumption, xx kWh, and the monthly bill, yy dollars, for six households. The paired data are
(180,68),(220,75),(260,83),(310,94),(360,101),(400,112)(180,68),(220,75),(260,83),(310,94),(360,101),(400,112)

Scatter plot of monthly electricity consumption versus monthly bill for six households.
A
I.

Find the regression line of yy on xx.

[2]
Write your answer here...
II.

Find the regression line of xx on yy.

[2]
Write your answer here...
B
I.

Use the appropriate regression line to estimate the electricity consumption for a household whose bill is 9090 dollars.

[2]
Write your answer here...
C

student rearranges the regression line of yy on xx to estimate xx from a value of yy. Explain why this is not the appropriate method.

[2]
Write your answer here...

0

Question 43
HL • Paper 2
Hard
Calculator Permitted

A drone manufacturer tests six batteries. The ambient temperature, xCx^\circ\text{C}, and the flight time, yy minutes, are recorded as
(5,31),(8,30),(12,27),(16,25),(20,22),(24,20)(5,31),(8,30),(12,27),(16,25),(20,22),(24,20)

Scatter diagram of flight time against ambient temperature for six drone batteries.
A
I.

Find the regression line of yy on xx.

[2]
Write your answer here...
II.

Find the regression line of xx on yy.

[2]
Write your answer here...
B
I.

Find the coordinates of the point of intersection of the two regression lines.

[2]
Write your answer here...
C

If you did not obtain regression lines in part (a), use y=34.35140.601278xy=34.3514-0.601278x and x=56.88931.65378yx=56.8893-1.65378y.

I.

Estimate the flight time when the ambient temperature is 18C18^\circ\text{C}.

[1]
Write your answer here...
II.

Estimate the ambient temperature when the flight time is 2626 minutes.

[1]
Write your answer here...

0

Question 44
HL • Paper 2
Hard
Calculator Permitted

A conservation laboratory studies the fading of a pigment. The time, tt years, and the natural logarithm of the brightness index, lnB \ln B, are recorded for six samples:
(0,4.62),(2,4.39),(4,4.15),(6,3.96),(8,3.70),(10,3.52)(0,4.62),(2,4.39),(4,4.15),(6,3.96),(8,3.70),(10,3.52)
It is suggested that BB can be modelled by B=AektB=Ae^{kt}, where A>0A>0 and k<0k<0.

Scatter plot of ln B against time showing a strong negative linear trend.
A
I.

Find the regression equation of lnB \ln B on tt in the form lnB=mt+c \ln B=mt+c.

[2]
Write your answer here...
B
I.

Hence find the value of AA and the value of kk.

[3]
Write your answer here...
C

If you did not obtain a model in part (b), use B=101e0.111tB=101e^{-0.111t}.

I.

Estimate the time at which the brightness index is 5050.

[2]
Write your answer here...
D
I.

State whether the estimate in part (c) is interpolation or extrapolation.

[1]
Write your answer here...
II.

Give one limitation of this model.

[1]
Write your answer here...

0

Question 45
HL • Paper 2
Hard
Calculator Permitted

A jeweller records the diameter, xx mm, and mass, yy mg, of six gemstones:
(4,18),(5,34),(6,25),(7,58),(8,49),(9,84)(4,18),(5,34),(6,25),(7,58),(8,49),(9,84)

Scatter plot of gemstone mass against diameter for six gemstones.
A
I.

Find the regression line of yy on xx.

[2]
Write your answer here...
II.

Find the regression line of xx on yy.

[2]
Write your answer here...
B

If you did not obtain regression equations in part (a), use y=11.657143x31.104762y=11.657143x-31.104762 and x=0.0690y+3.42x=0.0690y+3.42 for subsequent calculations.

I.

Estimate the mass of a gemstone with diameter 7.57.5 mm.

[1]
Write your answer here...
II.

Estimate the diameter of a gemstone with mass 5050 mg.

[1]
Write your answer here...
C

student uses the equation y=11.7x31.1y=11.7x-31.1 to estimate the diameter of a gemstone with mass 5050 mg. Compare this method with the method used in part (b)(ii).

[2]
Write your answer here...

0

Question 46
HL • Paper 3
Hard
Calculator Permitted

A manufacturer tests rechargeable cells at different ambient temperatures. Let xx be the ambient temperature in C^\circ\text{C} and let yy be the discharge time in hours. For a sample of 99 cells, the following summary statistics are obtained:

xˉ=25,yˉ=6.80,sx=4.60,sy=1.15,r=0.872\bar{x}=25,\quad \bar{y}=6.80,\quad s_x=4.60,\quad s_y=1.15,\quad r=-0.872

A scatter diagram suggests that a linear model is reasonable for temperatures between 18C18^\circ\text{C} and 32C32^\circ\text{C}.

Scatter plot of discharge time against ambient temperature for 9 rechargeable cells, showing a negative linear trend over 18°C to 32°C.
A
I.

Find the equation of the regression line of yy on xx in the form y=ax+by=ax+b.

[3]
Write your answer here...
II.

Use your regression line to estimate the discharge time at 22C22^\circ\text{C}.

[2]
Write your answer here...
B
I.

Find the equation of the regression line of xx on yy in the form x=cy+dx=cy+d.

[3]
Write your answer here...
II.

Estimate the ambient temperature corresponding to a discharge time of 5.805.80 hours. If you did not obtain an equation in part (b)(i), use x=3.49y+48.7x=-3.49y+48.7.

[2]
Write your answer here...
C
I.

Show that the product of the gradients of the two regression lines is equal to r2r^2.

[2]
Write your answer here...
II.

Explain why rearranging the regression line of yy on xx is not the correct method for estimating xx from a given value of yy.

[2]
Write your answer here...

0

Question 47
HL • Paper 3
Hard
Calculator Permitted

An environmental officer records the level of fine particles, xx, and the number of respiratory complaints, yy, in 88 districts. One district is known to contain a large industrial fire during the recording period. For all 88 districts,

xˉ=42,yˉ=18,Sxx=1246,Syy=1018.5,Sxy=1099\bar{x}=42, \quad \bar{y}=18, \quad S_{xx}=1246, \quad S_{yy}=1018.5, \quad S_{xy}=1099

where Sxx=(xxˉ)2S_{xx}=\sum (x-\bar{x})^2, Syy=(yyˉ)2S_{yy}=\sum (y-\bar{y})^2 and Sxy=(xxˉ)(yyˉ)S_{xy}=\sum (x-\bar{x})(y-\bar{y}).

After removing the industrial-fire district, the corresponding statistics for the remaining 77 districts are

xˉ=38,yˉ=14,Sxx=350,Syy=122.5,Sxy=203\bar{x}=38, \quad \bar{y}=14, \quad S_{xx}=350, \quad S_{yy}=122.5, \quad S_{xy}=203

Statistic

All 8 districts

Remaining 7 districts

nn

8

7

Mean xx

42

38

Mean yy

18

14

SxxS_{xx}

1246

350

SyyS_{yy}

1018.5

122.5

SxyS_{xy}

1099

203

A
I.

Calculate Pearson's product-moment correlation coefficient for all 88 districts.

[2]
Write your answer here...
II.

Find the regression line of yy on xx using all 88 districts.

[3]
Write your answer here...
B
I.

Calculate Pearson's product-moment correlation coefficient after removing the industrial-fire district.

[2]
Write your answer here...
II.

Using the remaining 77 districts, find the regression line of yy on xx.

[2]
Write your answer here...
C
I.

Using the model from part (b)(ii), estimate the number of complaints when the particle level is 4545. If you did not obtain an equation in part (b)(ii), use y=0.580x8.04y=0.580x-8.04.

[2]
Write your answer here...
II.

The critical values of r|r| for a two-tailed test at the 5%5\% level are 0.7070.707 for n=8n=8 and 0.7540.754 for n=7n=7. Compare the conclusions about significant linear correlation before and after removing the industrial-fire district.

[2]
Write your answer here...

0

Question 48
HL • Paper 3
Hard
Calculator Permitted

A materials laboratory measures the diameter xx mm and breaking load yy N of metal rods. Technology gives the regression line of yy on xx as

y=18.5x+33.0y=18.5x+33.0

The regression line of xx on yy is

x=0.0410y+1.545x=0.0410y+1.545

The observed loads range from 190190 N to 335335 N.

Use the stated regression equations, rather than numerical values read from the diagram, for all calculations.

Scatter diagram of breaking load against diameter with two regression lines.
A
I.

Find the coordinates of the mean point of the data.

[3]
Write your answer here...
II.

Find Pearson's product-moment correlation coefficient, rr.

[1]
Write your answer here...
B
I.

Estimate the diameter of a rod with breaking load 310310 N. State which regression line you used.

[2]
Write your answer here...
II.

student instead rearranges y=18.5x+33.0y=18.5x+33.0 to estimate the diameter. Find the student's estimate.

[2]
Write your answer here...
C
I.

Explain why the estimate in part (b)(i) is more appropriate than the student's estimate.

[2]
Write your answer here...
II.

Deduce why the two regression lines would be rearrangements of each other only when r=1|r|=1.

[2]
Write your answer here...

0

Question 49
HL • Paper 3
Hard
Calculator Permitted

A chemical engineer records the temperature xx in C^\circ\text{C} and the time yy in minutes for a reaction to reach a fixed yield. Technology gives

y=0.0450x+6.20y=-0.0450x+6.20

as the regression line of yy on xx, and

x=14.2y+103x=-14.2y+103

as the regression line of xx on yy.

The engineer later uses u=x+273.15u=x+273.15 for temperature in kelvin and v=60yv=60y for time in seconds.

Reaction time against temperature, with both regression lines shown.
A
I.

Find Pearson's product-moment correlation coefficient between xx and yy.

[2]
Write your answer here...
II.

Explain why the negative value of rr is appropriate in this context.

[2]
Write your answer here...
B
I.

Find the regression line of vv on uu.

[3]
Write your answer here...
II.

Use your line to estimate the reaction time in seconds at 295295 K. If you did not obtain an equation in part (b)(i), use v=2.70u+1109.505v=-2.70u+1109.505, retaining unrounded values before final rounding.

[2]
Write your answer here...
C
I.

Find the regression line of uu on vv.

[2]
Write your answer here...
II.

State the correlation coefficient between uu and vv, giving a reason.

[2]
Write your answer here...

0

Question 50
HL • Paper 3
Hard
Calculator Permitted

A biologist studies the relationship between salinity xx and the number of larvae yy found in water samples. Technology gives the two regression lines

y=4.20x+58.6y=-4.20x+58.6

and

x=0.207y+13.14x=-0.207y+13.14

There are 1111 samples and the observed salinities range from 2.12.1 to 8.98.9.

The two stated regression lines relating larvae count y to salinity x.
A
I.

Find Pearson's product-moment correlation coefficient, rr.

[2]
Write your answer here...
II.

Describe the linear correlation.

[1]
Write your answer here...
B
I.

Estimate the number of larvae when the salinity is 6.006.00. State whether this is interpolation or extrapolation.

[2]
Write your answer here...
II.

Estimate the salinity when the number of larvae is 2525. State which regression line is used.

[2]
Write your answer here...
C
I.

For n=11n=11, the critical value of r|r| at the 5%5\% significance level is 0.6020.602. Determine whether there is significant linear correlation.

[2]
Write your answer here...
II.

The biologist claims that increasing salinity causes the number of larvae to decrease. Comment on this claim.

[2]
Write your answer here...
III.

Explain why using the first regression line to estimate yy when x=11x=11 may be unreliable.

[1]
Write your answer here...

0

Question 51
HL • Paper 3
Hard
Calculator Permitted

A workplace study records background noise level xx dB and productivity score yy for 1010 offices. Technology gives

r=0.646,y=0.580x+91.4r=-0.646, \quad y=-0.580x+91.4

For n=10n=10, the critical values of r|r| for a two-tailed test are 0.6320.632 at the 5%5\% level and 0.7650.765 at the 1%1\% level. A new variable u=x60u=x-60 measures noise above 6060 dB, and v=100yv=100-y measures productivity loss.

Scatter of productivity score against noise level with regression and reference lines.
A
I.

State suitable hypotheses for testing whether there is linear correlation between noise level and productivity score.

[1]
Write your answer here...
II.

Determine whether the correlation is significant at the 5%5\% level and at the 1%1\% level.

[3]
Write your answer here...
B
I.

Interpret the gradient of the regression line in context.

[2]
Write your answer here...
II.

Explain why the intercept should be interpreted with caution.

[2]
Write your answer here...
C
I.

Find the regression line of vv on uu.

[2]
Write your answer here...
II.

State the correlation coefficient between uu and vv, giving a reason.

[2]
Write your answer here...

0

Question 52
HL • Paper 1
Hard
Non Calculator

For a set of bivariate data, the regression line of yy on xx is

y=12x+18y=-\frac{1}{2}x+18

and the regression line of xx on yy is

x=18y+9x=-\frac{1}{8}y+9
A

Find the mean point of the data.

[4]
Write your answer here...
B
I.

Use the appropriate regression line to estimate yy when x=6x=6.

[2]
Write your answer here...
II.

Use the appropriate regression line to estimate xx when y=10y=10.

[2]
Write your answer here...
C
I.

Show algebraically that the two regression lines would be the same line only if their gradients were reciprocals.

[3]
Write your answer here...
II.

Use the gradients in this question to explain why the two regression lines are not the same line.

[1]
Write your answer here...

0

Question 53
HL • Paper 2
Hard
Calculator Permitted

A small wind turbine is tested at different wind speeds. Let vv be the wind speed and PP be the power output. The following paired values of lnv \ln v and lnP \ln P are recorded:
(1.10,3.02),(1.39,3.86),(1.61,4.55),(1.79,5.07),(1.95,5.52),(2.08,5.93)(1.10,3.02),(1.39,3.86),(1.61,4.55),(1.79,5.07),(1.95,5.52),(2.08,5.93)

Scatter diagram of the six wind-turbine observations showing the relationship between ln v and ln P.
A
I.

Find the regression line of lnP \ln P on lnv \ln v in the form lnP=alnv+b \ln P=a \ln v+b.

[2]
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II.

Hence write a model for PP in the form P=kvnP=kv^n.

[2]
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B
I.

Find the regression line of lnv \ln v on lnP \ln P.

[2]
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II.

Use the appropriate regression equation to estimate the wind speed when the power output is 150150. If you did not obtain an equation in part (b)(i), use lnv=0.337lnP+0.0832\ln v=0.337\ln P+0.0832.

[2]
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C

Explain why rearranging the equation in part (a)(i) is not generally the appropriate method for estimating vv from a given value of PP.

[2]
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Question 54
HL • Paper 2
Hard
Calculator Permitted

A property analyst records the floor number, xx, and the weekly rent, yy dollars, for seven apartments in the same building:
(1,210),(2,220),(3,235),(4,245),(5,260),(6,270),(7,410)(1,210),(2,220),(3,235),(4,245),(5,260),(6,270),(7,410)
The apartment on floor 77 has a large private terrace and may be an unusual observation.

Scatter diagram of weekly rent against floor number for seven apartments, with one high outlier.
A
I.

Using all seven observations, find Pearson's product-moment correlation coefficient, rr.

[2]
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II.

Remove the observation for floor 77. Find the new value of rr for the remaining six observations.

[2]
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B
I.

Find the regression line of yy on xx using all seven observations.

[1]
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II.

Find the regression line of yy on xx using only the first six observations.

[1]
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III.

Use both regression lines to estimate the weekly rent on floor 88.

[1]
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C

Evaluate the reliability of using these models to predict the rent on floor 88.

[2]
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Question 55
HL • Paper 2
Hard
Calculator Permitted

A data set has six observations for variables xx and yy:
(10,44),(15,52),(20,61),(25,69),(30,80),(35,87)(10,44),(15,52),(20,61),(25,69),(30,80),(35,87)
New variables uu and vv are defined by
u=x205,v=2y+15u=\frac{x-20}{5},\qquad v=2y+15

xx

yy

uu

vv

10

44

-2

103

15

52

-1

119

20

61

0

137

25

69

1

153

30

80

2

175

35

87

3

189

A
I.

Find Pearson's product-moment correlation coefficient for xx and yy.

[2]
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II.

Find the regression line of yy on xx.

[2]
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B
I.

Determine Pearson's product-moment correlation coefficient for uu and vv.

[1]
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II.

Find the regression line of vv on uu.

[2]
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C

If you did not obtain an equation in part (b)(ii), use v=17.5u+137v=17.5u+137. Estimate vv when u=3u=3.

[1]
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Question 56
HL • Paper 3
Hard
Calculator Permitted

A light sensor is moved to positions at signed distances xx cm from the centre of a lamp. The recorded intensity is yy. The scatter diagram is symmetric about the yy-axis. For the data collected, the transformation z=x2z=x^2 gives an exact linear relationship

y=z+1y=z+1

The observed values of xx are equally spaced on both sides of 00, and no observation is made at x=0x=0.

x [cm]

y [a.u.]

z [cm^2]

-3

10

9

-2

5

4

-1

2

1

1

2

1

2

5

4

3

10

9

A
I.

Explain why the Pearson correlation coefficient between xx and yy is 00.

[2]
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II.

Explain why r=0r=0 does not mean that there is no relationship between xx and yy.

[2]
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B
I.

Use the regression of yy on zz to estimate the intensity when x=2.50x=2.50.

[2]
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II.

State whether this estimate is an interpolation or an extrapolation, given that 2.502.50 lies within the observed range of xx.

[2]
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C
I.

Suppose a data set consists of pairs (ai,f(ai))(a_i,f(a_i)) and (ai,f(ai))(-a_i,f(a_i)), where ai>0a_i>0. Show that the Pearson correlation coefficient between xx and yy is 00, provided the variance of xx and the variance of yy are non-zero.

[4]
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0

Question 57
HL • Paper 3
Hard
Calculator Permitted

A meteorologist studies the relationship between wind speed xx km h1^{-1} and a cooling index yy. For the sample,

xˉ=30,yˉ=12,Sxx=160,Sxy=96,Syy=74\bar{x}=30, \quad \bar{y}=12, \quad S_{xx}=160, \quad S_{xy}=-96, \quad S_{yy}=74

The plotted observations are illustrative and rounded; use the supplied summary statistics for all calculations.

A family of straight lines through the mean point is considered:

y12=k(x30)y-12=k(x-30)
Scatterplot of cooling index against wind speed with marker-only observations, the mean point, and three connected guide lines through the mean.
A
I.

Find Pearson's product-moment correlation coefficient, rr.

[2]
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II.

Find the regression line of yy on xx.

[2]
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B
I.

Show that the sum of squared vertical residuals for the line y12=k(x30)y-12=k(x-30) is

Q(k)=Syy2kSxy+k2SxxQ(k)=S_{yy}-2kS_{xy}+k^2S_{xx}
[3]
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II.

Hence find the value of kk that minimizes Q(k)Q(k).

[2]
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C
I.

Find the minimum possible value of Q(k)Q(k). If you did not obtain k=0.600k=-0.600, use this value.

[2]
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II.

For an observation with x=35x=35 and y=8.10y=8.10, find the residual using the regression line of yy on xx.

[2]
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Question 58
HL • Paper 3
Hard
Calculator Permitted

A geologist records the mineral density xx and magnetic response yy of rock samples. For one analysis, the regression line of xx on yy is

x=0.240y+1.80x=0.240y+1.80

and the mean point is (9.00,30.0)(9.00,30.0). The Pearson correlation coefficient is r=0.600r=0.600.

Scatter diagram with one regression line and the mean point.
A
I.

Verify that the given regression line passes through the mean point.

[1]
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II.

Find the equation of the regression line of yy on xx.

[3]
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B
I.

second report claims that the regression line of yy on xx is y=5.00x15.0y=5.00x-15.0 while the regression line of xx on yy remains x=0.240y+1.80x=0.240y+1.80. Explain why this cannot be correct.

[2]
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II.

Use the correct regression line of yy on xx to estimate yy when x=12.0x=12.0. If you did not obtain an equation in part (a)(ii), use y=1.50x+16.5y=1.50x+16.5.

[1]
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C
I.

Deduce why, unless r=1|r|=1, the regression line of xx on yy should not be rearranged to predict yy from a given xx.

[3]
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0

Question 59
HL • Paper 3
Hard
Calculator Permitted

A researcher studies the relationship between the number of practice problems attempted, xx, and a performance score, yy. For the first 66 students,

xˉ=10,yˉ=40,Sxx=70,Syy=280,Sxy=126\bar{x}=10, \quad \bar{y}=40, \quad S_{xx}=70, \quad S_{yy}=280, \quad S_{xy}=126

A seventh student, who attempted many practice problems but had a relatively low score, is added to the data set. This student's values are (20,42)(20,42).

Scatter diagram of performance score against practice problems attempted.
A
I.

For the first 66 students, find Pearson's correlation coefficient.

[2]
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II.

Find the regression line of yy on xx for the first 66 students.

[3]
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B
I.

Find the new mean point after the seventh student is added.

[2]
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II.

Show that the updated values are

Sxx=10907,Syy=19847,Sxy=10027S_{xx}=\frac{1090}{7},\quad S_{yy}=\frac{1984}{7},\quad S_{xy}=\frac{1002}{7}
[3]
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C
I.

For all 77 students, find the correlation coefficient and the regression line of yy on xx. If you did not show the updated values in part (b)(ii), use them as given.

[3]
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II.

Compare the predicted score for x=15x=15 using the original model and the updated model.

[2]
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0

Question 60
HL • Paper 3
Hard
Calculator Permitted

A nutrition study records daily fibre intake xx grams and a health score yy. The participants belong to two age groups, A and B. For group A,

n=5,xˉ=2,yˉ=18,Sxx=10,Syy=40,Sxy=20n=5, \quad \bar{x}=2, \quad \bar{y}=18, \quad S_{xx}=10, \quad S_{yy}=40, \quad S_{xy}=20

For group B,

n=5,xˉ=8,yˉ=12,Sxx=10,Syy=40,Sxy=20n=5, \quad \bar{x}=8, \quad \bar{y}=12, \quad S_{xx}=10, \quad S_{yy}=40, \quad S_{xy}=20
Scatter plot of fibre intake and health score for two age groups, showing two positively trending clusters with group B shifted right and lower than group A.
A
I.

Find the correlation coefficient within each group.

[2]
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II.

Find the regression line of yy on xx within group A.

[2]
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B
I.

Find the combined mean point for all 1010 participants.

[2]
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II.

Show that, for the combined data, Sxx=110S_{xx}=110, Syy=170S_{yy}=170 and Sxy=50S_{xy}=-50.

[4]
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C
I.

Find the correlation coefficient and the regression line of yy on xx for the combined data.

[2]
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II.

Discuss why the combined correlation may lead to a misleading interpretation of the relationship between fibre intake and health score.

[2]
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